Triple

T3107652
Position Surface form Disambiguated ID Type / Status
Subject Savoie E64871 entity
Predicate subprefecture P9697 FINISHED
Object Albertville E82950 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Albertville | Statement: [Savoie, subprefecture, Albertville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albertville
Context triple: [Savoie, subprefecture, Albertville]
  • A. Albertville chosen
    Albertville is a town in southeastern France best known internationally for hosting the 1992 Winter Olympics.
  • B. Markleeville
    Markleeville is a small unincorporated community in the Sierra Nevada of California known for its historic charm, outdoor recreation, and role as the administrative center of Alpine County.
  • C. Chaumont
    Chaumont is a commune in northeastern France known as a local administrative and educational center, including hosting a campus of the University of Reims Champagne-Ardenne.
  • D. Mapleville
    Mapleville is a small village and census-designated place located within the town of Burrillville in northern Rhode Island.
  • E. Decazeville
    Decazeville is a former coal-mining town in southern France known for its industrial heritage and location in the Aveyron department.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada29d4aa8819093287bc71370fc05 completed March 8, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2038c89248190b880108c82ad35b1 completed March 12, 2026, 12:06 a.m.
Created at: March 8, 2026, 3:04 p.m.